Topic Hierarchy Generation

This post continues the problem of topic summarization posted earlier. Here I try to collect research articles related to the problem of topic hierarchy generation which is an important step for topic summarization.

1) Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes (link). Journal of Machine Learning Research 2011.

2) A Practical Web-based Approach to Generating Topic Hierarchy for Text Segments (link). CIKM 2004.

3) Finding Topic Words for Hierarchical Summarization (link). SIGIR 2001.

4) The Nested Chinese Restaurant Process and Bayesian Non-parametric Inference of Topic Hierarchies (link). Journal of the ACM 2010.

5) Mining bilingual topic hierarchies from unaligned text (link). IJCNLP 2011.

6) Domain-Assisted Product Aspect Hierarchy Generation: Towards Hierarchical Organization of Unstructured Consumer Reviews (link). ACL 2011.

7) (TBA)

(to be updated).

Scientific Summarization

This post aims to collect newest research papers in the literature about scientific summarization:

1) Abstract Summarization:
http://www.springerlink.com/content/q505w20k054k10w4/

2) TBA

3) Review
http://www.springerlink.com/content/4455125331140684/

Action Science Explorer - Tools for Rapid Understanding of Scientific Literature

http://www.cs.umd.edu/hcil/ase/

Good article to brainstorming

http://network.nature.com/groups/socialnotworking/forum/topics/2234

Mining scientific texts

This post is to collect all papers related to mining scientific texts (entity & relation extraction, summarization, ...).

1) http://www.lrec-conf.org/proceedings/lrec2008/pdf/773_paper.pdf
(Extracting and Querying Relations in Scientific Papers on Language Technology)

2)

Summarizing contents across websites in the Internet

Summarizing contents across websites in the Internet:

http://www.iresearch-reporter.com/
http://ultimate-research-assistant.com/

The summary quality of the above systems is not actually good (i think). One possible improvement is to focus mainly on summarizing contents from research papers which contain very useful and detailed technical materials. It could be regarded to "Related Work Summarization" (see my paper at here).

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Cheers,
Vu

Just a note on email summarization

Imagine that we have a set of mailing lists (e.g. Dbworld, Corpora-List, Linguist, BioNLP, moses-support, so on). Each of such a mailing list actually contains a bulk of questions and answers given by domain experts or semi-experts. A couple of situations can be raised:
Situation 1: a new user raises a question which had already been partially or fully answered through one or more email threads of mailing list. Need a question answering system or summarizer in this context???
Situation 2: a new user wants to search a topic of interest. A retrieval system needed???
Situation 3: such a mailing list needs a classification of email threads???
Situation 4: TBA

Any suggestions?

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Cheers,
Vu

Selected papers at ACL 2010

Machine Translation

Pseudo-word for Phrase-based Machine Translation
Xiangyu Duan, Min Zhang and Haizhou Li

Learning Lexicalized Reordering Models from Reordering Graphs
Jinsong Su, Yang Liu, Yajuan Lv, Haitao Mi and Qun Liu

Filtering Syntactic Constraints for Statistical Machine Translation
Hailong Cao and Eiichiro Sumita

Error Detection for Statistical Machine Translation Using Linguistic Features
Deyi Xiong, Min Zhang and Haizhou Li

Boosting-based System Combination for Machine Translation
Tong Xiao, Jingbo Zhu, Muhua Zhu and Huizhen Wang

Bilingual Sense Similarity for Statistical Machine Translation
Boxing Chen, George Foster and Roland Kuhn


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Summarization & Generation

A Risk Minimization Framework for Extractive Speech Summarization
Shih-Hsiang Lin and Berlin Chen

Entity-based local coherence modelling using topological fields
Jackie Chi Kit Cheung and Gerald Penn

Automatic Collocation Suggestion in Academic Writing
Jian-Cheng Wu, Yu-Chia Chang, Teruko Mitamura and Jason S. Chang

Identifying Non-Explicit Citing Sentences for Citation-Based Summarization.
Vahed Qazvinian and Dragomir R. Radev

Automatic Generation of Story Highlights
Kristian Woodsend and Mirella Lapata

Plot Induction and Evolutionary Search for Story Generation
Neil McIntyre and Mirella Lapata

Metadata-Aware Measures for Answer Summarization in Community Question Answering
Mattia Tomasoni and Minlie Huang

A Hybrid Hierarchical Model for Multi-Document Summarization
Asli Celikyilmaz and Dilek Hakkani-Tur

A new Approach to Improving Multilingual Summarization using a Genetic Algorithm
Marina Litvak, Mark Last and Menahem Friedman

Cross-Language Document Summarization Based on Machine Translation Quality Prediction
Xiaojun Wan, Huiying Li and Jianguo Xiao

Generating image descriptions using dependency relational patterns
Ahmet Aker and Robert Gaizauskas


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Information Extraction

Open Information Extraction Using Wikipedia
Fei Wu and Daniel S. Weld


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Corpus

The Human Language Project: Building a Universal Corpus of the World’s Languages
Steven Abney and Steven Bird

(see full list of papers at http://nlp.csie.ncnu.edu.tw/~shin/acl2010/proceedings/CDROM/ACL/index.html)

Selected papers at NAACL 2010

Machine Translation

N10-1140 [bib]: Michel Galley; Christopher D. Manning
Accurate Non-Hierarchical Phrase-Based Translation

N10-1141 [bib]: John DeNero; Shankar Kumar; Ciprian Chelba; Franz Och
Model Combination for Machine Translation

N10-1127 [bib]: Niyu Ge
A Direct Syntax-Driven Reordering Model for Phrase-Based Machine Translation

N10-1016 [bib]: Deyi Xiong; Min Zhang; Haizhou Li
Learning Translation Boundaries for Phrase-Based Decoding

Sentence Fusion

N10-1044 [bib]: Kathleen McKeown; Sara Rosenthal; Kapil Thadani; Coleman Moore
Time-Efficient Creation of an Accurate Sentence Fusion Corpus

Summarization

N10-1100 [bib]: Beaux Sharifi; Mark-Anthony Hutton; Jugal Kalita
Summarizing Microblogs Automatically

Question Answering

N10-1007 [bib]: Taniya Mishra; Srinivas Bangalore
Qme! : A Speech-based Question-Answering system on Mobile Devices

Project Gutenberg

Project Gutenberg (http://www.gutenberg.org/wiki/Main_Page) - a site containing more than 100,000 free online books in various languages ^_^. Especially, it allows to access the raw texts from books for further processing (e.g. book summarization - a very interesting research direction which has been underestimated so far).

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Cheers,
Vu

Surveys & Books for Automatic Summarization

This post is to collect some useful surveys or books about automatic summarization in the literature so far.

Surveys
1) A survey on Automatic Text Summarization (link)

2) A Survey on Multi-Document Summarization (link)

3) Automatic summarising: The state of the art (link)

Books
1) Automatic Summarization by Mani (link)

2) Text summarisation by Hovy (link)

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Cheers,
Vu

Useful collective information about automatic summarization

http://www.summarizationonline.info

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Cheers,
Vu

IBM Many Aspects Document Summarization Tool

http://www.alphaworks.ibm.com/tech/manyaspects

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Cheers,
Vu

AI softwares

Summarization: http://summarizer.intellexer.com/index.html
Extractor: http://www.extractor.com/

Surprising! AI softwares indeed!

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Cheers,
Vu

Summarization toolkit

MEAD: http://www.summarization.com/mead developed by Dragomir Radev at Univ. of Michigan
- Using Centroid-based summarization algorithm, read more details in some related papers
- Some troubles will be encountered when installing this tool. Please read the README file carefully before using it.
- Useful FAQs relating to MEAD: http://www.summarization.com/~radev/mead/email/

ROUGE evaluation: http://www.isi.edu/licensed-sw/see/rouge/index.html

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Cheers,
Vu